JOB CREATION AND ECONOMIC DEVELOPMENT OPPORTUNITIES IN THE CANADIAN HYDROPOWER MARKET

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1 JOB CREATION AND ECONOMIC DEVELOPMENT OPPORTUNITIES IN THE CANADIAN HYDROPOWER MARKET RACHEL DESROC HERS ISABELLE MO NTO UR AN NIE G RÉGOIRE JÉRÔME CHO TEAU ERWAN TURMEL SEPTEM BER 26, 2011

2 1 E X E C U T I V E S U M M A R Y The Canadian Hydropower Association (CHA) requested a team of MBA students from HEC Montreal to research hydroelectricity projects that will be happening over the next 20 years in order to estimate the jobs and Gross Domestic Product (GDP) value that these projects would create. The HEC team conducted the study from July 4 th through August 5 th, Three scenarios related to different levels of hydropower deployment in each province and territory were developed and named: Business as Usual, Mid-scenario and Optimistic scenario. The information about hydropower projects planned for the next 20 years was gathered from CHA members and a few other industry players who were available during the period of the study. If needed, public information was utilized to complete the gaps, as well as estimates obtained from correlation with available data. The Canadian IO Model developed by Statistics Canada was used to measure the impacts of the Canadian hydropower projects on job creation and GDP. This IO Model, like any input-output model, illustrates macroeconomic relationships between suppliers and producers, within an economy, at a regional or national level. Two different shocks were created in the 2007 IO Model in order to get both construction and operating benefits. A total of 158 hydropower projects for the next 20 years were identified (non-small hydro projects only) within three regions (Western region (composed of Yukon, British Colombia & Alberta), Central region (Northern Territories, Nunavut, Saskatchewan & Manitoba) and Eastern region (Ontario, Quebec and Atlantic Canada). The data indicate that the projects are split almost equally between the Western and the Eastern regions of Canada. About a third of the projects are upgrades or restorations mainly located in Eastern Canada. More than 80% of new constructions are run-of-rivers (mostly concentrated in the Western region) while most storage hydro projects are located in the Eastern region. In the most optimistic case, Canada could foresee the installation of 29,060 MW of capacity which represents an investment in construction of $127.7 billion (in 2011 dollars). The operation of all these new facilities would represent additional revenues of $172.4 billion for generators. Based on the collected data, the Canadian hydropower output would increase by 137 TWh in the coming 20 years in the Optimistic scenario. The construction of hydropower projects would create up to 1,036,564 jobs which is equivalent to 51,828 full-time jobs that would last for twenty years. This would represent 0.3% of the 2010 Canadian workforce. In the Optimistic scenario, this would also increase the yearly Canadian GDP by 0.38% and could represent up to 45% of the global estimated investment in the electricity sector required by This study, unlike past studies, collected project information directly from Canadian hydropower generators. It is also important to note that this study is considering direct, indirect and induced jobs when comparing to other studies (like Navigant 2007 or Wires and the Brattle Group 2011). The limitations related to the use of the IO Models should also be considered when using the results.

3 2 T A B L E O F C O N T E N T S E X E C U T I V E S U M M A R Y... P A G E 1 T A B L E O F C O N T E N T S... P A G E 2 I N T R O D U C T I O N... P A G E 3 T R E N D S A N D P R E S E N T H Y D R O S I T U A T I O N I N C A N A D A... P A G E 4 P R O J E C T M E T H O D O L O G Y... P A G E 6 D A T A G A T H E R I N G... P A G E 6 P U B L I C I N F O R M A T I O N... P A G E 7 I N T E R V I E W S... P A G E 7 D A T A A N A L Y S I S... P A G E 8 I N P U T -OUTPUT M O D E L O F S T A T I S T I C S CA N A D A... P A G E 8 S C E N A R I O S... P A G E 10 C O N S T R U C T I O N CO S T ES T I M A T I O N... P A G E 11 O P E R A T I N G R E V E N U E S E S T I M A T I O N - E L E C T R I C I T Y PRICE S... P A G E 11 C A S H F L O W S C A L C U L A T I O N S & A S S U M P T I O N S... P A G E 12 D A T A A G G R E G A T I O N... P A G E 13 C O L L E C T E D D A T A... P A G E 14 P R O J E C T E D I N S T A L L E D C A P A C I T Y... P A G E 15 C O N S T R U C T I O N CAS H F L O W S... P A G E 16 O P E R A T I O N R E V E N U E S... P A G E 18 M E A N A N N U A L O U T P U T... P A G E 19 R E S U L T S... P A G E 21 P R O J E C T E D FULL TIM E EQU I V A L E N T JO B S... P A G E 21 G R O S S D O M E S T I C P R O D U C T... P A G E 24 C O N C L U S I O N... P A G E 27 L I S T O F F I G U R E S... P A G E 29 G L O S S A R Y... P A G E 30 R E F E R E N C E S... P A G E 31 A P P E N D I X A I N T E R V I E W E D O R G A N I Z A T I O N S... P A G E 33 A P P E N D I X B I N P U T - O U T P U T M O D E L L I M I T A T I O N S... P A G E 34 A P P E N D I X C E L E C T R I C I T Y P R I C E S P R O J E C T I O N S... P A G E 37

4 3 I N T R O D U C T I O N Hydroelectricity is the best known form of renewable energy. It has been used for approximately to 130 years. Canada is the second largest hydropower producer in the world after China. A strong Canadian hydroelectricity industry not only ensures a renewable energy supply for Canadians, but provides many other benefits such as regional development, greenhouse gas (GHG) emission reduction, fostering Canadian engineering capabilities and providing Canadian companies a great position in energy markets. Investment in hydropower also supports employment and stimulates the economy. Despite a decrease in spending since the 1970s, the last decade has seen a slow increase in new capacity investment as reliability needs are getting addressed and aging facilities are being upgraded or replaced. The Canadian Hydropower Association (CHA) selected a team of MBA students from HEC Montreal to research hydroelectricity projects that will be happening over the next 20 years and to estimate their economic impacts. More specifically, this study is focused on the jobs and Gross Domestic Product (GDP) value that will be created by additional hydropower deployment. To measure the employment and overall economic activity during the construction and operation phases, the 2007 input-output model from Statistics Canada was used. These kinds of models are universally used by economists and policy analysts to estimate how specific investments affect the different sectors of a provincial or national economy. The purpose of this report is to present the results of the study and to highlight the facts of interest. This mandate was conducted as part of the MBA supervised consulting field project. The team was supervised by Olivier Bahn, Associate Professor at the Department of Management Sciences at HEC Montreal.

5 4 T R E N D S A N D P R E S E N T H Y D R O S I T U A T I O N I N C A N A D A By definition, hydropower captures the energy released from falling or flowing water. The kinetic energy produced is first converted into mechanical energy and then into electricity. Small hydropower developments were common in North America until the 1940s and the transition to large hydro projects occurred between 1940 and Hydropower plants can be classified in terms of their size, operating head, application and the way they are operated. There are two main types of conventional hydropower installations in Canada: reservoir and run-of-river. The reservoir produces electricity by using the water accumulated in a large reservoir. The run-of-river uses mainly natural flow and a small headpond. Both hydropower installations are very similar, except on the volume of the live storage. By definition, the run-of-river projects will hold several hours of water inflow; the live reservoir will hold up to several months storage (RTA, 2010). Canada is one of the world's largest producers of hydroelectricity. In 2009, Canada generated a total of TWh and consumed TWh (CEA, 2009). 63.1% of this electricity is produced from hydropower (Statistics Canada, 2011b). Hydro 63.10% Fossil Fuel 21.60% Nuclear 15.00% Wind 0.30% Figure 1 Electricity Generation in Canada by sources (Statistics Canada, 2011b) Figure 2 Canadian Electricity Generation, (Natural Resources Canada, 2011)

6 5 The electricity networks of Canada and the United States are highly integrated and the vast potential for hydropower generation in Canada and demands for more clean energy in the U.S. will reinforce this integration. Also, the introduction of Canadian legislation to significantly reduce emissions from coal-fired plants will advantage the hydropower industry. Other factors like anticipated restrictions on carbon emissions and the growth of the United States demand creates a big market for Canada's hydropower resources. Several deals to export power to the U.S. have already been made (ex: in Minnesota, Vermont and New England) and more are looming. An estimated 475 hydroelectric plants with a capacity of more than 72,000 MW are currently operating in Canada (Centre for Energy, 2011). According to an EEM study (EEM, 2006) commissioned by the CHA, "Canada has 163,000 MW of untapped hydropower potential", which includes 5,500 sites of small hydro potential (sites with less than 10 MW of capacity). Figure 3 Canadian Hydropower Plant (Centre for Energy, 2011)

7 6 P R O J E C T M E T H O D O L O G Y The HEC team conducted the study from July 4 th through August 5 th, The following tasks were completed during the project: Questionnaire design based on required data; Extensive research of public data related to Canadian hydropower projects; Information gathering about additional hydropower projects planned for the next 20 years from CHA members and a few other industry players who were available during the period of the study; Development of three scenarios related to different levels of development based on the amount of support for additional hydropower deployment in each province and territory; Projection of direct, indirect and induced job creation related to these scenarios; Projection of Gross Domestic Product (GDP) increase related to these scenarios; Aggregation of data and results; and, Results analysis and report preparation. Specific methodologies developed in order to complete main tasks are presented hereafter. DATA G A T H E R I N G The objective of the data gathering was to collect information on potential hydropower projects that could take place in the coming 20 years. The main source of information was CHA members who have been interviewed based on the questionnaire designed earlier. All projects that have been evaluated in the market were considered, including those not economically feasible in the past, assuming that they may become feasible in the near future. Projects include new constructions and major upgrades. The following data were gathered when available for each potential project: Type of project (run-of-river, reservoir, turbine replacement, dam upgrades/restorations, etc.); Likelihood that the project will happen; Year at which this project will begin; Year at which the major proportion of the budget will be spent; Construction/restoration duration; Expected date of commissioning; Estimated cost of the project (if available, costs on a year-by-year basis); Additional capacity installed; Portion of the production planned for exportation;

8 7 Estimated mean annual output; Estimated revenues related to the added capacity; and, Owners of the project. Experts from consulting and engineering firms were consulted to confirm certain data. When this was impossible, data were estimated based on available information (see Data Analysis). P U B L I C I N F O R M A T I O N An extensive review of all the hydro projects happening in each province and territory was done based on public information available on the Internet. This allowed a general understanding of the hydroelectricity market in Canada and a more specific understanding of the current projects. A list was created with all projects presented in reliable documents, i.e. those produced by either hydropower generators, provincial utilities or governments. General information available on these projects was gathered. This list was also useful in identifying major Canadian players in the industry. It should be noted that the objective was not to evaluate the overall Canadian hydroelectricity potential but only active projects. Data related to projects smaller than 10 MW ( small projects according to the Canadian Electricity Association definition) were not gathered using interviews. Rather, a specific amount of small hydro was assigned to each province based on the estimation of the Canadian potential for small hydro. This way, 5,000 MW among a global potential of 15,000 MW have been allocated to different provinces and territories using current potential distribution and expert judgment (EIA, 2010). The data gathered from CHA and non-cha members were used to correct and to complete the public project list, as presented in Appendix A. I N T E R V I E W S The data collection phase of the study took place from July 4 th to 22 nd, CHA members were contacted to collect both technical and economic hydropower potential information. Membership of the CHA spans the breadth of the industry and includes hydropower generators, manufacturers, engineering firms, contractors, organizations and individuals interested in the field of hydropower. According to the CHA, the membership represents more than 95% of the hydropower capacity in Canada. The HEC team has been able to talk to all CHA members that are categorized as generators of hydropower and to a large portion of other categories of members. All Canadian hydro-generators have been contacted Other industry players, which are not CHA members (Sask Power, Yukon Energy, etc.), were asked to participate in the study. Some of them accepted to provide their data.

9 8 Finally, we would like to thank the following experts that have been consulted to obtain clarifications and comments on specific results: Olivier BAHN, associate professor at HEC Montreal and expert in mathematical models in energy; Pierre-Olivier PINEAU, professor at HEC and expert in energy policies; Nicolas VINCENT, economist and assistant professor at HEC Montreal; and, Statistics Canada s economists specialized in the IO Model. It should be noted that the accuracy of this report relies on Canadian hydro players willingness to give strategic information not publicly available. Most of the data provided by them could not be cross-checked given their confidentiality. D A T A A N A L Y S I S Both public and confidential data were compared in order to eliminate duplicate projects and retain information only from the most accurate sources. Some correlations were used in order to fill in the data gaps for certain projects. The correlations were based on the projects already gathered. Those correlations were mostly linear; a few have been polynomial or rose to the power, with a correlation coefficient (R 2 ) varying from 0.72 to Correlations were used for 5.6% of the study financial data and for 44.9% of the gathered construction duration data. I N P U T - O U T P U T M O D E L O F S T A T I S T I C S C A N A D A Study based on crosschecked information's retained from the most accurate sources In order to measure the impacts of the Canadian hydropower projects on job creation and GDP, the Canadian IO Model developed by the Account Division of Statistics Canada has been used. This IO Model, like any input-output model, illustrates macroeconomic relationships between suppliers and producers, within an economy, at a regional or national level. This type of model, first developed by Mr Wassily Leontief, uses matrices representing the relations between industries. Matrices use inputs (numbers representing events or shocks in an industry) and turn them into outputs (numbers representing their impact). The latest IO model of Statistics Canada represents the Canadian economy in 2007 and covers all economic activities conducted in every province and territory. It is based on detailed macroeconomic data on how goods and services are produced and consumed. IO models seize the different transactions occurring between industries, i.e. it can differentiate when outputs from one industry are being used as inputs by another (final Economic benefits from hydropower projects have been projected from Statistics Canada IO Model demand versus intermediate demand). As a result, the matrix generates only numbers associated with real increase in the economy. Appendix B presents the limitations associated with the IO Model.

10 9 This methodology evaluates the systemic impact of different scenarios (or shocks) on macroeconomic variables, using a linear model of industry economic interrelations. The model rebalances the overall economy after a hypothetical shock. The results of this shock illustrate differences the shock makes in the economy. For this specific study, two shocks were created to represent the economic impacts of hydropower projects that would occur during the studied period (2011 through 2030). In other words, the shock simulates in a single moment of the economy a period of 20 years of development in hydroelectricity industry. The first shock relates to the construction of the new hydropower capacity. It includes construction costs of the projects as stated by the generators. The second shock is associated to electricity generation, after the commissioning of the project. The operation revenues are estimated using electricity s market price by mean annual output of the projects (specifics of this last calculation are described in the Electricity Prices section). For each shock, numerous options were selected in relation to the model: In the context of limited information regarding details of the projects examined, it was decided to opt for two industry shocks as opposed to commodity shocks which require a level of information that was not relevant for the present study. More precisely, an industry shock means that only one number has to be entered in the model, for example, the total cost of project s construction, instead of the cost of their individual materials. Because of the distribution of the hydropower in the country, it was decided to choose the provincial instead of the national level. This geographic level allows obtaining the different discrepancies between provinces, revealing the most precise result possible and presenting the result by large areas instead of the whole country (too aggregated to discover some trends) or by provinces (too confidential). Lastly, the most detailed level of aggregation (named level W) has been chosen between the three choices offered by the model. This level allows detailed data entry which equals more precision. C O N S T R U C T I O N S H O C K E X P L O I T A T I O N S H O C K G E O G R A P H I C L E V E L P R O V I N C I A L P R O V I N C I A L T Y P E O F S H O C K I N D U S T R Y I N D U S T R Y A G G R E G A T I O N L E V E L W W I N D U S T R Y E 0 Electric Power Engineering Construction Figure 4 IO Model Shocks Electric Power Generation Transmission and Distribution The IO Model s latest version available is related to year This version was used in the course of this study. Collected data had to be temporarily actualized to 2007 since the study refers to the period The numbers related to projects from the Optimistic scenario were processed by Statistics Canada. Since the IO Model of Statistics Canada is linear, it was possible to calculate the Midscenario and Business as Usual scenarios results by using proportions.

11 10 S C E N A R I O S From the information gathered, three different scenarios were built: Business as Usual, Midscenario and Optimistic scenario. Those scenarios correspond to the likelihood of the projects to proceed. Three methods were selected to distribute the different projects between the scenarios. The first method was based on S C E N A R I O S D E S C R I P T I O N the comments of the generators P R O J E C T S W I T H L E S S T H A N 5 0 % C H A N C E S O F who answered the questionnaire. O P T I M I S T I C B E I N G R E A L I Z E D W I T H I N 20 Y E A R S As guidelines, the generators P R O J E C T S W I T H M O R E T H A N 50% C H A N C E S were given some criteria to define M ID-SCENARIO O F B E I N G R E A L I Z E D W I T H I N 20 Y E A R S their projects. The Business as B U S I N E S S A S U S U A L A P P R O V E D P R O J E C T S Usual scenario refers to projects that have already been approved Figure 5 Hydropower Projects Scenarios or are in the process of being approved. The Mid-scenario is associated to projects that have more than 50% likelihood of proceeding within a 20-year period. Finally, the Optimistic scenario represents projects that have less than 50% chance of being built, but which are still on the drawing boards of the generators. Sometimes, the generators did qualify the likelihood of projects happening, which means that the researchers made judgment calls to categorize projects. The second methodology adopted is quite different from the first one and has been used for less than 9% of projects. In cases where generators did not qualify the likelihood of the projects, it was determined that projects that cost less than $3,000,000 per MW were Business as Usual, those within $3,000,000 and $4,000,000 per MW were Mid-scenario and more than $4,000,000 per MW were Optimistic scenario. These categories were established in accordance to two industry experts. Finally, for the small hydro capacity, a third methodology was used as those projects were rarely mentioned by the generators. Therefore, the assumptions regarding the likelihood of happening of small projects were based on the growth rate provided in an EIA report of 2010 (EIA, 2010). This report stated that: The current small hydro capacity in Canada is approximately 3,400 MW, and new capacity is growing at a rate The scenarios elaborated do not take into account that the conditions of market may change and promote hydropower development of 50 to 150 MW per year. It is estimated that about 15% of the identified small hydro potential of 15,000 MW would be strong candidates for development under current socio-economic conditions and with existing state-of-the-art technologies. Based on this growing rate, a 50 MW per year was assumed for the Business as Usual scenario, a 150 MW per year for the Mid-Scenario and a 250 MW per year for the Optimistic scenario. These scenarios imply that, under the Optimistic scenario, more than twice the currently commercially viable small hydro projects would be built during the next 20 years.

12 11 Since the likelihood of projects was determined by the generators, no economic nor legislative assumptions were made in order to justify which projects should emerge during the next 20 years. On the other hand, it must be noted that many events could happen and increase the pace of hydro projects development: The price of coal, natural gas or other energy type could increase substantially thus fostering hydropower projects; Provincial government could adopt rules that promote clean energy which include hydropower, as seen in British Columbia; New technologies could be commercialized reducing the cost of projects that could become profitable; and, New international agreements (following Kyoto Protocol) could be achieved or international carbon market could be implemented. Any similar event could favour hydropower development which implies that generators pending projects could emerge and turn out to be commercially viable. On the other hand, other events could happen and disadvantage hydro project development, like unfavorable government policies. C O N S T R U C T I O N C O S T E S T I M A T I O N In order to evaluate the economic impact of hydropower projects construction planned for the next 20 years, the information on construction costs was taken directly from the generators. O P E R A T I N G R E V E N U E S E S T I M A T I O N - E L E C T R I C I T Y P R I C E S In order to evaluate the economic impact of the operating phase of the entire hydropower projects to be implemented, projections on electricity prices were required. The value of the operation shock to be introduced into the IO Model was estimated by multiplying the mean annual output (in GWh) of each new installation to be built by the electricity prices projections. Projections on electricity prices from 2010 through 2030 were provided by tables from EIA (EIA, 2011). More than 40 different economic scenarios have been developed by EIA to project different electricity prices. For our Business as Usual scenario, the EIA Reference scenario was chosen. For the Optimistic scenario, the EIA GHG price economy wide scenario was chosen. This scenario is defined by EIA as if: Carbon allowance fee is set at the level of the cost containment provision as specified in both the American Power Act of 2010 and the American Clean Energy and Security Act of For the Mid-scenario, an average of these two estimates was used. The projections (in 2009 US cents per kwh) are presented in Appendix C. For each scenario, different electricity prices projections were compared in order to validate the EIA projections

13 12 To ensure their validity, these projections were compared with an estimate of the electricity cost based on natural gas combined cycle technology. This estimate, specific to Quebec, was provided by Rio Tinto Alcan (RTA, 2011). In order to get prices representative of all Canadian regions, the projections were corrected by using only half the fees related to transportation, distribution and compression. No carbon taxes were considered and financial and other costs were excluded. In order to make electricity price projections from 2010 through 2030, EIA projections (EIA, 2011) for natural gas price were used. As for the electricity price projections produced by the EIA, the EIA Reference scenario was chosen for our Business as Usual scenario and GHG price economy wide scenario was chosen for our Optimistic scenario. In the same way, an average of these two estimates was used for our Mid-scenario. The electricity price projections resulting from these calculations were comparable to the EIA Projections directly for electricity prices. Thus, EIA projections for electricity prices were preferred in the present study. It is crucial to note that the IO Model of Statistics Canada would have needed the operation costs instead of the operation revenues in order to have reliable results. In other words, the generators margin, which is unknown, was included in the numbers when it should not have been. Because of this discrepancy in the methodology, the results from the matrix for GDP and jobs related to the operation are higher than they should have been. C A S H F L O W S C A L C U L A T I O N S & A S S U M P T I O N S Since the cash flows considered in the analysis are occurring at different moments and since the IO Model is valid for 2007, some financial adjustments were required: All cash flows from 2011 and subsequent years have been discounted back to 2007; Since the results from the IO Model shock are given in 2007 dollars, they have been converted into 2011 dollars (i.e. capitalized to 2011); The rate used to adjust for the time value of money is the average of the daily series of 2007 Government of Canada benchmark bond yields for five years to long term period 1 as they are reasonable predictors of the future risk-free rates, including inflation and opportunity cost predictions. The average retained rate is 4.244%; Even though the investments will occur over a few years, summing every yearly investment discounted back to 2007 is the same as summing every yearly investment discounted back to 2011 and then discounting that sum back to Hence, since the sum of the discounted cash flows as of 2011 is already known, that amount only has to be discounted back to 2007; If the construction of a project was started before 2011, only what was left of the construction period was included in the analysis. This is the case of 5.7% of the projects considered. For small hydropower facilities, one year construction periods were used; and, When calculating project revenues, all related cash flows were considered as perpetuities starting on the commissioning date. This is based on the fact that hydroelectricity facilities last up to 100 years when well maintained. 1 Series V39053, V39054, V39055 and V39056

14 13 D A T A A G G R E G A T I O N Participants to the survey are protected by a non-disclosure agreement endorsed by HEC team members. Since confidential information was gathered from CHA and non-cha members, final information presented in this report is aggregated into three regions: W E S T E R N R E G I O N Yukon, British Colombia & Alberta C E N T R A L R E G I O N Northern Territories, Nunavut, Saskatchewan & Manitoba E A S T E R N R E G I O N Ontario, Quebec, Newfoundland and Labrador, New Brunswick, Prince Edward Island & Nova Scotia

15 14 C O L L E C T E D D A T A With the integration of data from the generators and from the Internet, a total of 158 hydropower projects for the next 20 years in Canada were identified (non-small hydro projects only). This number is related to the Optimistic scenario. Among this, 24 projects correspond to the Business as Usual scenario and 114 to the Mid-scenario. Most of the projects collected in the Optimistic scenario are shared almost equally between the Western and the Eastern regions, respectively 46% and 44% as presented hereafter. However, in the Business as Usual and Mid-scenario, the Eastern region has more planned projects. For all scenarios, there are significantly less projects in the Central region. When comparing the three scenarios, the reader will notice that most hydropower projects in Canada will be built only in the Optimistic scenario. This means that proactive government policies would allow more projects to proceed. About a third of the 158 hydropower projects are upgrades or restorations. They are mainly located in Eastern Canada, as presented at Figure 6. At this point, the reader should remember that only the projects mentioned by the participants were included in the study. Therefore it is possible that only a few participants chose to share this kind of projects (upgrades or restorations) impacting the reliability of the data. More than 80% of new constructions are run-of-rivers (ROR). Most ROR are concentrated in the Western region while most storage hydro (reservoir) projects are located in the Eastern region. The run-of-river projects usually have smaller installed capacities than storage hydro. As for the Central region, it has few projects and does not distinguish itself in either category (ROR or reservoir).

16 15 The category named "Other" includes a transmission line and other projects that were not defined by participants. Transmission lines represent some uncertainty in the results. The generators were asked to add the transmission line cost to their project construction costs only when essential to the project. It was difficult to determine if the necessary lines were systematically integrated. In one case, the generator chose to separate the costs of the transmission line and this decision was respected in the study. P R O J E C T E D I N S T A L L E D C A P A C I T Y Figure 6 - Number of Projects by Type and Region In the most Optimistic case, Canada could foresee the installation of 29,060 MW. The selected projects from the Optimistic scenario represent only 18% of the Canadian untapped hydro potential (163,000 MW according to the CHA (2008)). Nonetheless, compared to the actual installed hydropower capacity of 71,798 MW (IEA, 2010), the projected Optimistic scenario represents a huge increase. These costs are distributed between provinces and territories according to the number of projects planned in each region. In the Optimistic scenario, the western part of Canada receives most of the new installed capacity. However, in the Business as Usual scenario, the East has the highest level of projects in terms of installed capacity. The Optimistic scenario suggests 158 large hydro projects which equals 29,060 MW It is also worth noting that confirmed projects are a small proportion of all projects planned by generators. Because generators assessed projects likelihood themselves, the level of confidence in project commitment could change from one person to another. It means that it is possible that one generator affirms that his projects will go further while another generator is more careful in stating the same.

17 16 Figure 7 illustrate the planned installed capacity for the different regions. Figure 7 - Installed Capacity by Region and Scenario C O N S T R U C T I O N C A S H F LOWS The 158 hydropower projects planned between 2011 and 2030 in the Optimistic scenario represents an investment of $127 billion (in 2011 dollars for all this section of the report). However, these data do not include small hydro projects. The following graph illustrates construction costs for the different regions: Figure 8 - Construction Costs by Region and Scenario

18 17 Figure 9 - Construction Costs per Scenario and Region The construction cost associated to each region is quite representative of the number of projects in each region. Thus, it is no surprise that, in the Optimistic scenario, the Western region has the highest construction cost at $53.7 billion, while the Eastern region has $46.2 billion, and the Central region, $27.8 billion. In the Business as Usual scenario, it is noticeable that there is a concentration of project costs in the Eastern region simply because most projects have already been approved in this region. Projects gathered across the country are presenting a wide range of construction costs per MW. Projects lower than $50 million are typically restoration or upgrade of existing facilities and add little or no new capacity. The construction cost per MW ratio by region is presented at figure 10. The variability of the ratio could be related to: The size of the project; The distance between the project location and the transmission infrastructure; The distance between the project location and cities; The topography; The necessity for deforestation; and, The total annual output of the hydro infrastructure. Figure 10 Cost per MW Installed by Region ( Optimistic scenario) According to some hydroelectricity experts interviewed, the wide variability of construction costs per installed capacity could be expected. When observing important differences, profitability of

19 18 projects should be taken into account. Indeed, a project with a high cost per installed capacity could generate an important mean annual output and associated revenues while the opposite is also true. Also, it must be noted that the type of project does not influence the IO Model s calculations. Therefore, according to the Model, a dollar spent on a small hydropower project or on a big one would create the same number of jobs and generate the same GDP value. O P E R A T I O N R EVE N U E S If all the projects from the Optimistic scenario proceed in the next 20 years, their operation would represent additional revenues of $172.4 billion for Canada (in 2011 adjusted dollars, regardless of when the project goes into service for all this section of the report). However, these data do not include the small hydro projects. The following graph illustrates the operation revenues for the different regions: Figure 11 - Operation Revenues by Region and Scenario Figure 12 Operation Revenues by Scenario and Region The commissioning dates of the approved projects are scheduled in the next few years. Since most approved projects are located in the Eastern region, most of the revenues from the "Business as Usual" scenario are in this region. On the other hand, in the "Optimistic" scenario, the Western region generates 52% of the revenues.

20 19 Because the revenues of each new facility have been calculated for a 100-year period, it is possible to compare all projects without considering the moment of their construction. To make it the comparison more relevant, it is possible to compare ratios of revenues per installed capacity, as presented hereafter. This figure illustrates that revenues per MW differ from region to region. The time value of money can partially explain the differences observed as western projects tend to have later dates of commissioning. However, further research would be required to give a comprehensive explanation. M E A N A N N U A L O U T P U T Figure 13 Revenues per MW Installed by Region ( Optimistic scenario) Even though the installed hydro capacity is important data, the mean annual output is even more important since it represents the amount of energy that can be produced annually. This energy is the source of revenues for generators. Based on the collected data, the Canadian hydropower output would increase by 137 TWh in the coming 20 years in the Optimistic scenario. This represents an important increase in comparison to the actual mean annual output of hydroelectricity in Canada of 335 TWh (CHA, 2008). There is an important difference between this Optimistic scenario and the 31 TWh of the Business as Usual scenario. It is interesting to note that the Business as Usual scenario is presenting the Eastern region as the first producer, with 66% of the global output, while the Optimistic scenario is presenting the Western region as the first producer, with 53% of the global output. Figure 14 - Mean Annual Output per Region

21 20 Depending on multiple factors like the hydro potential available in a specific region or the specific capability regarding the installation to be built (base load or more peak power), a wide variability of the Energy produced per $ million ratio can be observed. As presented in the following chart and based on the Optimistic scenario, 1.34 GWh can be produced in the Central region with an amount of $1 million since 1.54 GWh and 1.45 GWh would be produced with the same amount of money in the Western and the Eastern regions respectively. The Central region s ratio is slightly lower and could be explained by the fact that the territory is less suitable for hydropower development. The Western and Eastern regions have close ratios. The small difference observed could be caused by a variety of reasons including differences in the generators assessments. Figure 15 - Mean Annual Output per M$ of Investment ( Optimistic Scenario)

22 21 R E S U L T S Statistics Canada provided the model output after the construction and operation shocks. Among the results received, the study focused on the differences induced by the projects in terms of jobs and GDP. For these two indicators, the IO Model calculated the direct, indirect and induced effects of the projects. Direct impacts measure the variation either in employment or GDP generated by either investment in hydropower construction or revenues of operation. Indirect impacts represent the changes due to inter-industry purchases in response to the new demand from the hydropower industry associates. Finally, induced impacts measure the increase in the production of goods and services in response to hydropower industry workers consumption and expenses. P R O J E C T E D F U L L T I M E E Q U I V A L E N T J O B S The following graphs represent the number of full-time equivalents (FTE) in Canada, between 2011 and 2030, related to the shocks. These data have been extracted from the results provided by the IO Model of Statistics Canada. Since the model is linear, the number of FTE is proportional from one scenario to the other. The number of FTE includes all direct, indirect and induced jobs. The construction and operation of hydropower projects for the 20 next years would create up to 1,754,473 FTE in an Optimistic scenario. It is important to note that FTE are given in person-year which means 1,754,473 FTE would be equivalent to 87,724 full-time jobs that would last for twenty years. Because the number of jobs generated by the In the Optimistic scenario, the construction investment would generate 1,036,564 FTE jobs operation of new hydropower facilities is inflated (due to the inclusion of generators margin in the operating cost, as described in the methodology section), it is preferable to only take into account FTE created by the construction of the projects. For the rest of this section, only the jobs related to construction of hydropower projects will be considered, but the results of operation are presented in the figures. In the Optimistic scenario, the implementation of all 158 projects would create 1,036,564 FTE or a mean of 51,828 FTE by year for 20 years. Knowing that according to Statistics Canada (2011a), there are 17,401,000 workers in Canada, these 51,828 would represent 0.3% of the workforce.

23 22 T o t a l FTE Operation FTE Construction Figure 16 - FTE Employment Creation in the Western Region T o t a l FTE Operation FTE Construction Figure 17 - FTE Employment Creation in Central Region T o t a l FTE Operation v Figure 18 - FTE Employment Creation in Eastern Region FTE Construction

24 23 In the Optimistic scenario, construction related jobs would be created in proportion of the added capacity, respectively: 45% would be in the Western region, 36% in the Eastern region and 20% in the Central region. Since 79.5% of the construction costs of the planned projects are concentrated in the Eastern region in the Business as Usual scenario, it is no surprise that most FTE are located in this region (85%). It might be interesting to compare the number of FTE given by the IO matrix to other industries. There are: 1.22 million workers in the construction industry; 1.74 million workers in the manufacturing industry; and, 329 thousands workers in the natural resources 2 industry. According to Statistics Canada (2011c), "The energy sector is vital to the nation s economy, accounting for 6.8% of gross domestic product (GDP) in 2008 and directly employing 363,000 people, or about 2% of the labour force". It might also be interesting to compare the number of FTE given by the matrix for this study to other studies: In an American study called Job creation opportunities in hydropower, Navigant Consulting (2009) found that the installation of 60,000 MW of capacity could create up to 700,000 jobs. When comparing these studies, it is important to remember that Navigant (2009) is considering only direct and indirect jobs while this study considers direct, indirect and induced jobs. The methodology used in Navigant study is also different than in this study. Even taking that into account, the difference is important with the 29,060 MW and 1,036,563 FTE of this study. In a North-American study on Employment and economic benefits of transmission infrastructure investment in the US and Canada, Wires and the Brattle Group (2011) found: If the $1 billion is spent over the course of one year, this means this investment will support approximately 13,000 FTE jobs that year (p.ii). When comparing this study to the present one, the reader will note that Wires and the Brattle Group also find less jobs (if we do the calculation, we find 17,133 jobs per billion for this study in the Optimistic scenario). Reasons explaining these differences could include the fact that many Canadian projects are built up North, in areas with high unemployment rates. Thus, it is possible that Canadian projects create more jobs than projects in the United States, where more people could transfer from one job to an hydro job. Other explanations for the differences observed are mentioned in the Collected data section (cost per MW). 2 Forestry, fishing, mining, quarrying, oil and gas

25 24 G R O S S D O M E S T I C P R O D U C T The following graphs show the GDP increase generated in Canada by the planned hydropower projects for the next 20 years for the different regions. The construction and operation of the projects would increase the GDP of Canada by $313,340 million in the Optimistic scenario, $221,678 million in the Mid-scenario and $76,162 million in the Business as Usual scenario. The numbers include all direct, indirect and induced dollars generated by the industry. Similarly to the FTE section, it should be noted that the reliability of the value added to the GDP generated by the operation of new hydropower facility is inflated. Therefore, it is preferable to take into account only the GDP created by the construction of the projects. For the rest of this section, only the GDP related to construction of hydropower projects will be considered. However, the results of operation are presented in the figures. In the Optimistic scenario, the construction of all projects would generate $130,231 million or a mean of $6,512 million by year for 20 years. According to Statistics Canada, the current GDP (adjusted for the first quarter of 2011) is $1,696,724 million at current price (2011b). So if we compare the Optimistic GDP increase equivalent for one year to the current GDP, it would represent 0.38% of it. In the Optimistic scenario, the hydro projects construction would increase the Canadian GDP by $130,231 million In the Optimistic scenario, the GDP would increase more in regions where more capacity is added. 42% of the increase would be seen in the Eastern region, 41% in the Western region and 17% in the Central region. This GDP distribution is similar to the distribution of FTE. Although the model estimates that the GDP would be increased by projects, the real increase could be superior to the study estimate. In fact, since the IO model is based on 2007 and since the hydroelectricity exportation level was low at that time, a potentially higher level of exportation in the future would have an even more positive effect on the GDP. It is also possible that the level of hydropower construction was low in 2007 or that the projects built were small; if this was the case, the multiplication factors would also be low, underestimating the GDP increase.

26 25 According to the International Energy Agency (2009), Canada must invest approximately $238 billion (in 2007 dollars) in electricity generation, transmission, and distribution to maintain a reliable supply and to meet electricity demand in Therefore, the project investment estimated from the IO Model, in the Optimistic scenario would represent 45.5% of this amount (in 2007 dollars). Figure 19 - Gross Domestic increase - Western Region Figure 20 - Gross Domestic increase - Central Region

27 26 Figure 21 - Gross Domestic Creation - Eastern Region Important note: The shocks simulated by the IO Model were related to very specific industries: Electric power engineering construction for the construction shock and Electric power generation transmission and distribution for the operation shock. These industries were the most representative we could use, but include a wider range of activities than the ones we were interested in. For example, Electric power engineering construction includes not only hydroelectricity, but several other electricity sources: natural gas, coal and nuclear. Since the model calculates the mean economic impact of all electric power engineering constructions, it could be somewhat different from the impact of hydroelectric constructions only. In the same way, the industry Electric power generation transportation and distribution includes the transport and distribution, while the value of the shock is considering only the production of electricity. This limitation related to the precision of the operation shock could have produced somewhat overestimated results, in terms of GDP and job created.

28 27 C O N C L U S I O N This report presents the results of the Job Creation and Economic Development Opportunities in the Canadian Hydropower Market Study. This study has been conducted for the CHA by a team of MBA students from HEC Montréal. The purpose was to determine the job creation as well as the GDP increase which can be projected from construction and operation shocks in the hydropower industry in Canada. It is important to consider that several limitations have been listed. However, the number of responses, the methodology used, as well as the quantity of data gathered ensures high quality, consistent results. To enhance result analysis, three different scenarios were built: Business as Usual, Mid and Optimistic scenarios which were based on projects likelihood. In order to respect the confidentiality of the data collected from generators, the results have been aggregated into three regions: the Western region (Yukon, British Colombia & Alberta), Central region (Northern Territories, Nunavut, Saskatchewan & Manitoba) and Eastern region (Ontario, Quebec and Atlantic Canada). A total of 158 hydropower projects for the next 20 years for Canada were identified (excluding small hydro projects). The data indicate that the projects are split almost equally between the Western and the Eastern regions of Canada. About a third of the projects are upgrades or restorations, mainly located in Eastern Canada. More than 80% of new constructions are run-ofrivers (mostly concentrated in the Western region) while most storage hydro projects are located in the Eastern region. In the Optimistic case, Canada could foresee the installation of 29,060 MW of capacity which represents an investment of $127,745 million (in 2011 dollars). Based on the collected data, the Canadian hydropower output would increase by 137 TWh in the coming 20 years in the event of an Optimistic scenario. The construction of hydropower projects would create up to 1,036,564 FTE which is equivalent to 51,828 full-time jobs that would last for twenty years. This would represent 0.3% of the 2010 Canadian workforce. In the Optimistic scenario, this would also increase the yearly Canadian GDP by 0.38% and could represent up to 45% of the global estimated investment in the electricity sector required by Due to a short mandate timeframe (five weeks), it could be relevant for future studies to plan a longer data gathering period to make sure that data are as comprehensive as possible. Also, a longer data gathering period would enable more data cross checks, interviews and benchmarking.

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